Opportunity Information: Apply for G17AS00093
The Cooperative Ecosystem Studies Unit, Rocky Mountain CESU grant opportunity (Funding Opportunity Number G17AS00093) is a U.S. Geological Survey (USGS) discretionary funding program that supports science and technology research focused on developing and testing phenological prediction models for the United States. Structured as a cooperative agreement under CFDA 15.808, the award is intended for a partner within the Rocky Mountain Cooperative Ecosystem Studies Unit (CESU) network, with eligibility limited to those partners identified in the opportunitys additional eligibility guidance. USGS anticipated making a single award with a maximum funding amount (award ceiling) of $90,000. The opportunity was posted on June 22, 2017, with an original application deadline of July 7, 2017.
The central purpose of the project is to improve understanding and prediction of organismal phenology, meaning the timing of recurring biological events such as leaf-out, flowering, and other seasonal transitions. The work is designed to operate across both space and time, scaling from local, individual-level observations to broad, national-scale patterns that can be evaluated historically, in near-real time, and under future climate conditions. The research emphasis is on turning observations into predictive tools that help explain when phenological transitions occur and how those transitions respond to climate variability and change, with an explicit link to practical natural resource management needs.
A defining feature of this opportunity is the required use of high-quality, national in-situ plant phenology observations curated by the USA National Phenology Network (USA-NPN). These data represent ground-based observations of phenophases collected across the country, which can be used to train and validate models. The project is expected to develop and test models that connect local phenology observations to climatic drivers that trigger phenological events. One example driver named in the opportunity is accumulated temperature, a common metric used to represent heat accumulation over time that can cue events like budburst or flowering. By explicitly linking observed phenophase transitions to climate variables, the work aims to produce models that can reliably generalize across species ranges and geographic regions.
The deliverables emphasized in the announcement go beyond academic model development and focus on producing usable decision-support products. The primary outputs are phenology maps that display predicted timing of phenological transitions as they unfold across species ranges. These maps are intended to cover multiple time horizons: retrospective (historical), current, and prospective (future) scenarios. In practice, that means stakeholders could use the products to visualize where and when leafing or flowering is likely to occur, how those timings have shifted over time, and how they may change under different climate conditions.
The opportunity also highlights dissemination and community impact as an expectation. The resulting models and map products are intended to be delivered to both research and user communities and promoted through the USA-NPN website. This indicates an applied, service-oriented focus: the work should be packaged in a way that supports broader research, conservation planning, land and wildlife management, and other resource management applications that depend on understanding seasonal biological timing and its sensitivity to climate.Apply for G17AS00093
- The Department of the Interior, Geological Survey in the science and technology and other research and development sector is offering a public funding opportunity titled "Cooperative Ecosystem Studies Unit, Rocky Mountain CESU" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.808.
- This funding opportunity was created on Jun 22, 2017.
- Applicants must submit their applications by Jul 07, 2017. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $90,000.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).
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Frequently Asked Questions (FAQs)
What is the name of this grant opportunity?
This opportunity is the Cooperative Ecosystem Studies Unit, Rocky Mountain CESU grant opportunity (Funding Opportunity Number G17AS00093).
Which federal agency is offering this funding?
The funding is offered by the U.S. Geological Survey (USGS) as a discretionary funding program.
What type of award is this (grant, contract, cooperative agreement)?
The announcement describes the award as a cooperative agreement under CFDA 15.808.
What is the main scientific focus of the project?
The project supports science and technology research focused on developing and testing phenological prediction models for the United States.
What does "phenology" mean in the context of this opportunity?
Phenology refers to the timing of recurring biological events, such as leaf-out, flowering, and other seasonal transitions.
What is the central purpose of the project?
The central purpose is to improve understanding and prediction of organismal phenology across space and time, from local and individual-level observations to broad, national-scale patterns that can be evaluated historically, in near-real time, and under future climate conditions.
What kinds of biological events are the models expected to predict?
The models are intended to predict phenological transitions (phenophases), including examples such as leaf-out and flowering, as these seasonal events unfold across species ranges.
What is meant by operating "across both space and time"?
The work is expected to scale from local observations to national-scale patterns, and to support evaluations across multiple time horizons, including historical (retrospective), near-real-time (current), and future (prospective) conditions.
Is there a required data source for this project?
Yes. A defining feature of the opportunity is the required use of high-quality, national in-situ plant phenology observations curated by the USA National Phenology Network (USA-NPN).
What kind of data are required from the USA National Phenology Network (USA-NPN)?
The required data are ground-based observations of plant phenophases collected across the country, intended to be used to train and validate phenological prediction models.
What does "in-situ" mean here?
In this context, "in-situ" refers to ground-based (on-the-ground) plant phenology observations collected directly at observation locations across the United States.
What are the models expected to link phenology to?
The project is expected to develop and test models that connect local phenology observations to climatic drivers that trigger phenological events.
What is an example of a climatic driver mentioned in the opportunity?
One example driver named in the opportunity is accumulated temperature, a metric used to represent heat accumulation over time that can cue events like budburst or flowering.
Why is linking phenology to climate variables important in this project?
By explicitly linking observed phenophase transitions to climate variables, the work aims to produce models that can generalize across species ranges and geographic regions and help explain how phenological transitions respond to climate variability and change.
What is meant by models that "generalize across species ranges and geographic regions"?
It means the models should be able to reliably apply beyond a single local site, supporting prediction across the broader geographic distribution (range) of species and across different regions of the country.
What deliverables are emphasized beyond academic research?
The announcement emphasizes usable decision-support products, not just academic model development.
What are the primary expected outputs of the project?
The primary outputs are phenology maps that display predicted timing of phenological transitions as they unfold across species ranges.
What time horizons should the phenology maps cover?
The maps are intended to cover multiple time horizons: retrospective (historical), current, and prospective (future) scenarios.
What is the practical purpose of the phenology maps?
The products are intended to help stakeholders visualize where and when leafing or flowering is likely to occur, how those timings have shifted over time, and how they may change under different climate conditions.
How are the project results expected to be shared?
The opportunity highlights dissemination and community impact as expectations. The resulting models and map products are intended to be delivered to both research and user communities and promoted through the USA-NPN website.
Who is the intended audience for the project outputs?
The intended audience includes both research communities and user communities that rely on phenology information for practical applications.
What types of real-world applications are mentioned for the outputs?
The announcement indicates the work should support broader research, conservation planning, land and wildlife management, and other natural resource management applications that depend on understanding seasonal biological timing and its sensitivity to climate.
Who is eligible to apply?
Eligibility is limited to partners within the Rocky Mountain Cooperative Ecosystem Studies Unit (CESU) network, specifically those partners identified in the opportunity's additional eligibility guidance.
Is the award intended for multiple recipients or a single recipient?
USGS anticipated making a single award under this opportunity.
What is the maximum funding amount available?
The maximum funding amount (award ceiling) is $90,000.
When was the opportunity posted?
The opportunity was posted on June 22, 2017.
What was the original application deadline?
The original application deadline was July 7, 2017.
What does the opportunity suggest about the overall project orientation?
Based on the emphasis on decision-support products, dissemination via the USA-NPN website, and practical management needs, the opportunity is oriented toward applied, service-focused outputs that can be used by both scientists and practitioners.
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